IND Sr Director, Data - GCC129

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Role Overview

We are seeking a highly accomplished Data & AI Leader to drive enterprise-scale AI transformation, Generative AI initiatives, and data-driven innovation. This role requires a strong blend of technical expertise, business acumen, leadership, and revenue ownership, with experience in delivering measurable business outcomes through AI solutions.

The ideal candidate will have a proven track record in building AI practices, leading global teams, driving GTM strategies, and achieving revenue or cost optimization goals through AI-led transformation.

Key Responsibilities

1. AI Strategy & Transformation

• Define and execute enterprise-wide AI and Data strategy aligned with business objectives
• Lead Generative AI and Agentic AI initiatives across functions
• Drive digital transformation through adoption of AI/ML, cloud, and data platforms
• Build reusable AI accelerators, frameworks, and assets

2. Business Impact & Revenue Ownership

• Drive revenue generation through AI-led solutions, GTM strategies, and innovation programs
• Own and contribute to pre-sales, RFP responses, and solution positioning
• Deliver measurable business outcomes such as:
  • Revenue growth
  • Cost savings
  • Productivity optimization
• Partner with leadership and stakeholders to identify AI opportunities and scale solutions

3. Leadership & Team Management

• Build and lead high-performing global teams (50–100+ members)
• Mentor data scientists, ML engineers, and AI specialists
• Establish Centers of Excellence (CoE) for AI and analytics
• Drive cross-functional collaboration across geographies

4. Solution Design & Delivery

• Architect and deliver end-to-end AI/ML solutions across domains
• Implement advanced analytics use cases such as:
  • Customer analytics & personalization
  • Fraud detection, AML, KYC
  • Lead scoring, segmentation, and sales optimization
  • Forecasting, anomaly detection, and automation
• Ensure scalable deployment using cloud platforms (AWS, Azure, GCP)

5. Innovation & Emerging Technologies

• Drive adoption of:
  • Generative AI (LLMs, prompt engineering)
  • Deep Learning, NLP, and Agentic AI systems
• Stay updated on latest AI trends and build organizational capabilities
• Develop innovative AI-powered solutions for customer and operational excellence

Required Qualifications

Technical Skills

• Machine Learning, Deep Learning, NLP
• Generative AI & Prompt Engineering
• Python, SQL, NoSQL
• TensorFlow / PyTorch
• Data Visualization (Power BI, Tableau)
• Cloud Platforms: AWS, Azure, GCP
• Data Platforms: Snowflake, Big Data ecosystems

Business & Leadership Skills

• AI Strategy & Digital Transformation
• Stakeholder Management (including C-suite)
• Program & Product Management
• Pre-sales, GTM strategy, and Business Development
• Team building and leadership

Key Success Metrics

• Revenue generated through AI initiatives
• Cost savings achieved via automation / analytics
• Adoption and scalability of AI solutions
• Team growth and capability development
• Innovation and asset creation

About Us | Our Culture | What It’s Like to Work Here